|PyTorch Scholarship Challenge|
|Written by Sue Gee|
|Thursday, 04 October 2018|
A partnership between Facebook and Udacity has resulted in 10,000 challenge seats being made available in a new Udacity course “Introduction to Deep Learning with PyTorch,” built in collaboration with Soumith Chintala, Facebook AI Researcher and the creator of PyTorch.
After the two-month challenge course, three hundred students will earn a full scholarship from Facebook to Udacity’s Deep Learning Nanodegree, which is the four-month program that costs $999 that we've previous reported on.
News of this opportunity was announced at the inaugural PyTorch Developer Conference, which saw the release of the open source AI framework PyTorch 1.0 in developer preview and also fastai 1.0, an open-source deep learning library built on top of PyTorch.
The PyTorch Scholarship Challenge is structured in two phases:
The pre-requisites for the PyTorch Scholarship Challenge are intermediate Python programming experience and linear algebra. It is open to applicants aged 18 and over and as well as providing background information and answering questions to establish your familiarity with Python, calculus, linear algebra and Numpy you need to provide short paragraphs outlining:
The terms of the scholarship whereby fees for the Nanodegree Program will be fully covered by Facebook, the Scholarship Sponsor, and Udacity include the proviso that Udacity may share updates and data on recipients' progress in the Nanodegree Program with Facebook and that names and images may be announced publicly and used to promote the scholarship program. Information provided in the application may be used for future scholarship opportunities and that this may include sharing information with potential scholarship sponsors.
Introduction to Deep Learning with PyTorch consists of eight lessons:
1 - Introduction to Deep Learning
2 - Introduction to PyTorch
3 - Deep Learning with PyTorch
4 - Convolutional Neural Networks
5 - Style Transfer
6 - Recurrent Neural Networks
7 - Natural Language Classification
8 - Deploying with PyTorch
For anyone interested in deep learning this sounds like a great free course.
or email your comment to: email@example.com
|Last Updated ( Friday, 03 May 2019 )|